Comparison

Caver vs Elastic

Caver compared to Elasticsearch / Elastic Stack and Elastic Security. Open source pedigree vs. commercial focus, scale-engineering tax, and where each one fits.

At a glance

	Elastic Stack / Elastic Security	Caver
License model	Open source (Apache 2.0 / Elastic License v2) + commercial subscriptions.	Per-deployment commercial license-key.
Storage	Elasticsearch indices. ILM moves data through hot / warm / cold / frozen tiers.	Native parquet / iceberg on object storage.
Cold-tier search	Frozen tier requires searchable snapshots with a performance penalty.	First-class search over object storage.
Query languages	KQL, EQL, ES\|QL, Lucene.	SPL + KQL + SQL natively, all on the same backend with a language toggle. Plus AI agents over MCP, Grafana, DuckDB, Trino, Athena over the same OCSF Parquet lake. ES\|QL native on roadmap.
Operator pool	Broad open-source community.	Smaller, focused on commercial deployments.
Scale engineering	Your team owns shard sizing, ILM tuning, rolling restarts, version upgrades.	We own the operational complexity.
Content ecosystem	Elastic integrations catalog plus community-authored content. Quality varies; many integrations require operator tuning.	Curated vendor packs that ship with dashboards, saved searches, data inputs, and OCSF field mappings. Daily updates. No third-party install.
OT / ICS coverage	No first-class OT product. Beats can ingest industrial telemetry via custom processors and community-authored content, but no out-of-box industrial protocol decoders and no framework-aligned content.	caver-industrial: passive deep-packet decoders for BACnet/IP, S7Comm, IEC 60870-5-104, DNP3, Modbus TCP, EtherNet/IP, OPC-UA. Framework alignment for NIST 800-82 + IEC 62443. Air-gap-friendly deploy. Curated industrial threat intel.
AI security visibility	Limited.	caver-aisec, purpose-built.

Where Elastic wins

Open source heritage. You can run Elasticsearch entirely under your own roof, no commercial relationship required.
Broad community. Decades of community-authored detection content, dashboards, integrations.
Flexibility. Elasticsearch is a general-purpose engine that happens to also do SIEM. If you need full-text search, geospatial queries, log analytics, and observability all on the same platform, that’s a real story.
No license-key gate. Run as many clusters as you like with no per-deployment commercial conversation.

Where Caver wins

No scale-engineering tax. Shard layout, ILM policy, version upgrades, rolling restarts: these are operator-burden line items at any non-trivial Elastic deployment. Caver doesn’t ship that burden to you.
Cold-tier economics. Searchable snapshots are a real Elastic capability, but they pay a measurable performance penalty. Caver’s object-storage search doesn’t.
Query however you want. SPL, KQL, and SQL natively on the same backend. AI agents over MCP, Grafana, DuckDB, Trino, Athena over the same Parquet lake. Operators coming from KQL keep their language; operators on SPL or SQL get theirs too.
Content packs that ship complete. Each Caver pack includes dashboards, saved searches, data inputs, and OCSF field mappings, daily-updated. Elastic integrations vary widely in depth and freshness.
Purpose-built. Caver is SIEM-focused. Elasticsearch is general-purpose with a SIEM product layered on it. The differences show up at the edges (deployment hardening defaults, audit posture, retention guarantees).

How to decide

If you have strong Elasticsearch operators on staff and the cluster is already healthy, Elastic Security on top of it is a reasonable answer.

If you’re paying real money in operator time for cluster maintenance, version upgrades, or shard sizing, and you’d rather that time go elsewhere, Caver removes that line item.

If you need OT / ICS visibility, caver-industrial is in a different league than what’s available for Elastic.

Talk to us about scoping.

Want to try Caver against your own data?

Tell us a bit about your stack and we will scope a pilot against your real telemetry. Most evaluations are querying inside a week.

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Trademark notice. Splunk, splunkd, SPL, Splunk Enterprise Security, ITSI, UBA, and SOAR are trademarks of Splunk Inc. (a Cisco company). Microsoft Sentinel, KQL, Azure, and Defender are trademarks of Microsoft Corporation. Elastic, Elasticsearch, and Kibana are trademarks of Elasticsearch B.V. All other product names, logos, and brands are property of their respective owners. Use on this page is nominative, to describe interoperability, federation, and competitive comparison. No affiliation, sponsorship, or endorsement is claimed or implied.